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The development of an artificial intelligence (AI) system for improving medical students' English language interviewing skills

Research Project

Project/Area Number 18K12460
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 02100:Foreign language education-related
Research InstitutionKeio University

Principal Investigator

トーマス ジェームズ  慶應義塾大学, 医学部(信濃町), 講師 (10792583)

Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywordsvirtual patient / artificial intelligence / history-taking / NLP / clinical communication / natural language / Artificial intelligence / Healthcare simulation
Outline of Annual Research Achievements

- The AI system was developed and refined to interact with medical students in a software/PC-based system, a virtual reality (VR)-based system, and a web-based system
- The system was tested to give a >80% accuracy when responding to students interactions
- The system was studied in a cohort of 117 clinical and pre-clinical students to assess accuracy and improvement in performance of clinical communication skills and history-taking in English (quantitative analysis)
- The system was studied in a cohort of 54 students, who will participate in overseas electives, to assess perceived utility and acceptance as a learning resource (qualitative analysis)
- The research was presented at two national conferences and four international conferences
- Two journal papers are currently being finalized

Report

(3 results)
  • 2020 Annual Research Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (6 results)

All 2019 2018

All Presentation (6 results) (of which Int'l Joint Research: 4 results,  Invited: 1 results)

  • [Presentation] The evolution and future of virtual patients2019

    • Author(s)
      James Thomas
    • Organizer
      Association for Medical Education in Europe
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] What are the perceptions of Japanese medical students on virtual patients as a tool for developing history-taking skills?2019

    • Author(s)
      James Thomas
    • Organizer
      Conference for Education in Medicine and Simulation
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Virtual patients as a tool for developing history-taking skills2019

    • Author(s)
      James Thomas
    • Organizer
      International Federation of Medical Students' Associations
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] Correlation between faculty and peer-assessment of clinical communication skills in medical students2019

    • Author(s)
      James Thomas
    • Organizer
      Japan Society for Medical Education
    • Related Report
      2019 Research-status Report
  • [Presentation] Can virtual patients, using natural language processing, improve Japanese medical students’ confidence when taking medical histories in English?2018

    • Author(s)
      James Thomas
    • Organizer
      日本医学教育学会
    • Related Report
      2018 Research-status Report
  • [Presentation] Medical students’ perceptions of virtual patients, using natural language processing, as a tool for developing history-taking skills2018

    • Author(s)
      James Thomas
    • Organizer
      Association for Medical Education in Europe
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research

URL: 

Published: 2018-04-23   Modified: 2021-12-27  

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